Deep UV laser scanning microscopy with integrated 1050 nm spectral-domain optical coherence tomography for multi-contrast tissue imaging
Bibliographic record
Abstract
Slide-free microscopy methods for histological imaging in thick, minimally processed tissue specimens are rapidly emerging for surgical margin analysis applications. Here, we report an optical imaging system that combines 266 nm excited fluorescence, 266 nm confocal reflectance, and 1050 nm spectral-domain optical coherence tomography. The deep UV confocal reflectance and DAPI stain emission contrasts provide histology-like imaging at the tissue surface, with virtual H&E staining enabled by deep learning. Cross-sectional OCT extends visualization of tissue morphology beneath the specimen surface with near-infrared depth penetration. A custom reflective objective facilitates simultaneous high resolution, aberration-free imaging of UV confocal reflectance and fluorescence emission with a 0.52 numerical aperture, while transmitting a secondary low numerical aperture OCT beam. Imaging of ex vivo specimens is demonstrated in murine kidney and liver, and human breast tissues.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".